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Machine Learning Qa Jobs in Virginia (NOW HIRING)

Machine Learning Engineer

Arlington, VA ยท Hybrid

$110K - $200K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... Experience curating quality, real-world datasets for training deep learning models * Proficiency in ...

Machine Learning Engineer

Arlington, VA ยท Hybrid

$110K - $200K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... Experience curating quality, real-world datasets for training deep learning models * Proficiency in ...

Machine Learning Engineer

Arlington, VA ยท On-site

$110K - $200K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... Experience curating quality, real-world datasets for training deep learning models * Proficiency in ...

Showing results 21-40

Machine Learning Qa information

See Virginia salary details

$15

$44

$63

How much do machine learning qa jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for machine learning qa in Virginia is $44.49, according to ZipRecruiter salary data. Most workers in this role earn between $36.20 and $54.09 per hour, depending on experience, location, and employer.

What is a machine learning QA?

A Machine Learning QA (Quality Assurance) professional is responsible for testing and validating machine learning models to ensure accuracy, reliability, and performance. They design test cases, create automated testing pipelines, and identify biases or errors in datasets and model outputs. Their role bridges software testing and data science, ensuring that ML systems function correctly in production.

What does a machine learning QA do?

A Machine Learning QA professional is primarily responsible for designing, implementing, and executing test plans to ensure the quality and performance of machine learning models and their integration into software products. This often involves developing automated tests, validating dataset integrity, monitoring model outputs, and collaborating closely with data scientists and developers to resolve issues. Additionally, you may participate in code reviews, maintain testing documentation, and contribute to continuous improvement of testing processes. The role is collaborative and requires balancing technical rigor with practical problem-solving to help deliver robust AI-powered applications.

What skills and qualifications are needed for a machine learning QA?

Success as a Machine Learning QA requires a solid understanding of software testing principles, machine learning concepts, and programming skills, typically supported by a degree in computer science or a related field. Familiarity with tools like Python, TensorFlow or PyTorch, and QA automation frameworks, as well as relevant certifications in software testing or ML, are often advantageous. Strong analytical thinking, attention to detail, and effective communication are standout soft skills in this role. These competencies are essential for ensuring machine learning models function as intended, meet quality standards, and integrate smoothly into production environments.

What job categories do people searching Machine Learning Qa jobs in Virginia look for?

The top searched job categories for Machine Learning Qa jobs in Virginia are:

Infographic showing various Machine Learning Qa job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $92,537 per year, or $44.5 per hour.

Quality Assurance Manager

Arlington, VA โ€ข On-site

Full-time

Medical, Retirement, PTO

Posted 28 days ago


Job description

Job Title: Quality Assurance Manager
Job Category: Engineering and Technical Support
Time Type: Full time
Minimum Clearance Required to Start: Secret
Employee Type: Regular
Percentage of Travel Required: Up to 10%
Type of Travel: Local
* * *
The Opportunity:
CACI is seeking a Quality Assurance Manager to support our U.S. Department of State, Bureau of Diplomatic Security (DS) customer. This position leads enterprise quality assurance efforts supporting Agile software development, DevSecOps, and IT service delivery across a dynamic federal IT environment.
The successful candidate will collaborate with Development, Security, Operations, Project Managers, and Product Owners to establish software quality standards, oversee testing strategies, implement quality metrics, and drive continuous improvement throughout the Software Development Lifecycle (SDLC). This role is instrumental in ensuring software solutions are secure, maintainable, testable, and compliant with applicable federal and organizational standards.
Responsibilities:
  • Lead quality assurance activities across Agile software development projects.
  • Establish and maintain quality standards throughout the Software Development Lifecycle (SDLC).
  • Ensure compliance with applicable federal and organizational standards, including NIST, OWASP, and Section 508.
  • Review project deliverables and conduct quality reviews at key lifecycle milestones.
  • Develop QA strategies supporting automated and manual testing.
  • Oversee test planning, test case development, Independent Verification & Validation (IV&V), and User Acceptance Testing (UAT).
  • Partner with Agile teams to integrate quality practices into sprint planning, releases, and DevSecOps pipelines.
  • Define and monitor automated quality gates using tools such as SonarQube, Fortify, CAST, or similar platforms.
  • Develop dashboards and report quality metrics, including defect trends, test coverage, code quality, security findings, and release readiness.
  • Present quality metrics and recommendations to program leadership and Government stakeholders.
  • Maintain QA policies, standards, and supporting documentation.
  • Deliver training on quality assurance processes, testing methodologies, and quality tools.
  • Drive continuous process improvement through lessons learned, retrospectives, and Agile quality best practices.

Qualifications:
Required:
  • Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field.
  • 7+ years of experience leading software quality assurance in Agile development environments.
  • Experience with Agile methodologies, Software Development Lifecycle (SDLC), DevSecOps, and software testing practices.
  • Experience implementing automated testing and software quality tools such as SonarQube, Fortify, CAST, Azure DevOps, Jira, or similar platforms.
  • Knowledge of secure software development principles and federal standards, including NIST and OWASP.
  • Experience developing quality metrics, dashboards, and executive reporting.
  • Strong communication, collaboration, and organizational skills.
  • Active Secret Clearance or the ability to obtain and maintain one.

Desired:
  • Agile certification (CSM, PMI-ACP, SAFe, or equivalent).
  • PMP, CSQE, ISTQB, or similar professional certification.
  • Experience supporting Department of State or other federal civilian IT programs.
  • Experience implementing DevSecOps or CI/CD quality practices in enterprise environments.

What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
The proposed salary range for this position is:
$94,400 - $198,200
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.